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High-throughput methods such as RNA-seq, ChIP-seq, and ATAC-seq have well-established guidelines, commercial kits, and analysis pipelines that enable consistency and wider adoption for understanding genome function and regulation. STARR-seq, a popular assay for directly quantifying the activities of thousands of enhancer sequences simultaneously, has seen limited standardization across studies. The assay is long, with more than 250 steps, and frequent customization of the protocol and variations in bioinformatics methods raise concerns for reproducibility of STARR-seq studies. Here, we assess each step of the protocol and analysis pipelines from published sources and in-house assays, and identify critical steps and quality control (QC) checkpoints necessary for reproducibility of the assay. We also provide guidelines for experimental design, protocol scaling, customization, and analysis pipelines for better adoption of the assay. These resources will allow better optimization of STARR-seq for specific research needs, enable comparisons and integration across studies, and improve the reproducibility of results.
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http://dx.doi.org/10.1101/gr.277204.122 | DOI Listing |
Patterns (N Y)
July 2025
Cedars-Sinai Medical Center, Los Angeles, CA, USA.
The tree-based pipeline optimization tool (TPOT) is one of the earliest automated machine learning (ML) frameworks developed for optimizing ML pipelines, with an emphasis on addressing the complexities of biomedical research. TPOT uses genetic programming to explore a diverse space of pipeline structures and hyperparameter configurations in search of optimal pipelines. Here, we provide a comparative overview of the conceptual similarities and implementation differences between the previous and latest versions of TPOT, focusing on two key aspects: (1) the representation of ML pipelines and (2) the underlying algorithm driving pipeline optimization.
View Article and Find Full Text PDFSAR QSAR Environ Res
August 2025
Structural Biology and Biocomputing Lab, Department of Bioinformatics, Alagappa University, Karaikudi, India.
, a causative agent of lymphatic filariasis, relies on its endosymbiont for survival. MurE ligase, a key enzyme in peptidoglycan biosynthesis, serves as a promising drug target for anti-filarial therapy. In this study, we employed a hierarchical virtual screening pipeline to identify phytochemical inhibitors targeting the MurE enzyme of the endosymbiont of (MurE).
View Article and Find Full Text PDFNPJ Precis Oncol
September 2025
Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Breast cancer is a highly heterogeneous disease with diverse outcomes, and intra-tumoral heterogeneity plays a significant role in both diagnosis and treatment. Despite its importance, the spatial distribution of intra-tumoral heterogeneity is not fully elucidated. Spatial transcriptomics has emerged as a promising tool to study the molecular mechanisms behind many diseases.
View Article and Find Full Text PDFAcad Radiol
September 2025
Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China. Electronic address:
Rationale And Objectives: The diagnostic value of traditional imaging methods and radiomics in predicting macrotrabecular-massive hepatocellular carcinoma (MTM HCC) is yet to be ascertained. Therefore, this meta-analysis aims to compare the diagnostic performance of radiomics and conventional imaging techniques for MTM HCC.
Materials And Methods: Comprehensive publications were searched in PubMed, Embase, Web of Science, and Cochrane Library up to 28 February 2025.
Microb Genom
September 2025
Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, PR China.
African swine fever virus (ASFV) is highly transmissible and can cause up to 100% mortality in pigs. The virus has spread across most regions of Asia and Europe, resulting in the deaths of millions of pigs. A deep understanding of the genetic diversity and evolutionary dynamics of ASFV is necessary to effectively manage outbreaks.
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